SWVRC Fianance, Loans & Debt

Main Menu

  • Home
  • Coefficient of Variation
  • Temporal
  • Nasdaq
  • MSCIWI
  • Debt

SWVRC Fianance, Loans & Debt

Header Banner

SWVRC Fianance, Loans & Debt

  • Home
  • Coefficient of Variation
  • Temporal
  • Nasdaq
  • MSCIWI
  • Debt
Coefficient of Variation
Home›Coefficient of Variation›Proteomic analysis of adipose tissue revealing differentially abundant proteins in highly efficient mid-lactating dairy cows

Proteomic analysis of adipose tissue revealing differentially abundant proteins in highly efficient mid-lactating dairy cows

By Maureen Bellinger
June 13, 2022
0
0
  • Arthur, P. F., Archer, J. A. & Herd, R. M. Feed intake and efficiency in beef cattle: Overview of recent Australian research and challenges for the future. Aust. J. Exp. Agric. 44, 361–369 (2004).

    Article 

    Google Scholar 

  • Kelly, A. K. et al. Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers. J. Anim. Sci. 88, 109–123 (2010).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Crowley, J. J. et al. Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls. J. Anim. Sci. 88, 885–894 (2010).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Arthur, J. P. F. & Herd, R. M. Residual feed intake in beef cattle. Rev. Bras. Zootec. 37, 269–279 (2008).

    Article 

    Google Scholar 

  • Herd, R. M., Oddy, V. H. & Richardson, E. C. Biological basis for variation in residual feed intake in beef cattle. 1. Review of potential mechanisms. Aust. J. Exp. Agric. 44, 423–430 (2004).

    Article 

    Google Scholar 

  • Takiya, C. S. et al. Proteomic analysis reveals greater abundance of complement and inflammatory proteins in subcutaneous adipose tissue from postpartum cows treated with sodium salicylate. J. Proteom. 204, 103399 (2019).

    CAS 
    Article 

    Google Scholar 

  • Contreras, G. A., Strieder-Barboza, C. & De Koster, J. Symposium review: Modulating adipose tissue lipolysis and remodeling to improve immune function during the transition period and early lactation of dairy cows. J. Dairy Sci. 101, 2737–2752 (2018).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Faulkner, A. & Pollock, H. T. Metabolic responses to euglycaemic hyperinsulinaemia in lactating and non-lactating sheep in vivo. J. Endocrinol. 124, 59–66 (1990).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • De Koster, J. D. & Opsomer, G. Insulin resistance in dairy cows. Vet. Clin. Food Anim. Pract. 29, 299–322 (2013).

    Article 

    Google Scholar 

  • Mukiibi, R. et al. Transcriptome analyses reveal reduced hepatic lipid synthesis and fat accumulation in more efficient beef cattle. Sci. Rep. 8, 7303 (2018).

    ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • Alexandre, P. A. et al. Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle. BMC Genom. 16, 1073 (2015).

    Article 
    CAS 

    Google Scholar 

  • Benedeti, P. D. B. et al. Nellore bulls (Bos taurus indicus) with high residual feed intake have increased the expression of genes involved in oxidative phosphorylation in rumen epithelium. Anim. Feed Sci. Technol. 235, 77–86 (2018).

    Article 
    CAS 

    Google Scholar 

  • Khansefid, M. et al. Gene expression analysis of blood, liver, and muscle in cattle divergently selected for high and low residual feed intake1. J. Anim. Sci. 95, 4764–4775 (2017).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Paradis, F. et al. Transcriptomic analysis by RNA sequencing reveals that hepatic interferon-in- duced genes may be associated with feed efficiency in beef heifers 1. J. Anim. Sci. 93, 3331–3341 (2015).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Salleh, M. S. et al. RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle. BMC Genom. 18, 1–17 (2017).

    Article 
    CAS 

    Google Scholar 

  • Tizioto, P. C. et al. Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. BMC Genom. 16, 1–14 (2015).

    Article 

    Google Scholar 

  • Tizioto, P. C. et al. Gene expression differences in Longissimus muscle of Nelore steers genetically divergent for residual feed intake. Sci. Rep. 6, 1–12 (2016).

    Article 
    CAS 

    Google Scholar 

  • Weber, K. L. et al. Identification of Gene networks for residual feed intake in Angus cattle using genomic prediction and RNA-seq. PLoS ONE 11, 1–19 (2016).

    Google Scholar 

  • Zarek, C. M., Lindholm-Perry, A. K., Kuehn, L. A. & Freetly, H. C. Differential expression of genes related to gain and intake in the liver of beef cattle. BMC Res. Notes 10, 1–8 (2017).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Bunnik, E. M. & Le Roch, K. G. An introduction to functional genomics and systems biology. Adv. Wound Care 2, 490–498 (2013).

    Article 

    Google Scholar 

  • Berry, D. P. et al. The integration of omic disciplines and systems biology in cattle breeding. Animal 5, 493–505 (2011).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Almeida, A. M. et al. Animal board invited review: Advances in proteomics for animal and food sciences. Animal 9, 1–17 (2015).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Zachut, M. et al. Periparturient dairy cows do not exhibit hepatic insulin resistance, yet adipose-specific insulin resistance occurs in cows prone to high weight loss. J. Dairy Sci. 96, 5656–5669 (2013).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Zachut, M. Defining the adipose tissue proteome of dairy cows to reveal biomarkers related to peripartum insulin resistance and metabolic status. J. Proteome Res. 14, 2863–2871 (2015).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • McNamara, J. P. & Huber, K. Metabolic and endocrine role of adipose tissue during lactation. Annu. Rev. Anim. Biosci. 6, 177–195 (2018).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Piras, C. et al. Unraveling the adipose tissue proteome of transition cows through severe negative energy balance. Animals 9, 1013 (2019).

    PubMed Central 
    Article 

    Google Scholar 

  • McKenna, C. et al. An examination of skeletal muscle and hepatic tissue transcriptomes from beef cattle divergent for residual feed intake. Sci Rep 11, 8942. https://doi.org/10.1038/s41598-021-87842-3 (2021).

    ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Al-Husseini, W. et al. Expression of candidate genes for residual feed intake in Angus cattle. Anim. Genet. 45, 12–19 (2014).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Ravi, S., Schilder, R. J. & Kimball, S. R. Role of precursor mRNA splicing in nutrient-induced alterations in gene expression and metabolism. J. Nutr. 145, 841–846 (2015).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Joseph, S. B., Castrillo, A., Laffitte, B. A., Mangelsdorf, D. J. & Tontonoz, P. Reciprocal regulation of inflammation and lipid metabolism by liver X receptors. Nat. Med. 9, 213–219 (2003).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Fowler, A. J. et al. Liver X receptor activators display anti-inflammatory activity in irritant and allergic contact dermatitis models: liver-X-receptor-specific inhibition of inflammation and primary cytokine production. J. Invest. Dermatol. 120, 246–255 (2003).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Zhou, N., Lee, W. R. & Abasht, B. Messenger RNA sequencing and pathway analysis provide novel insights into the biological basis of chickens’ feed efficiency. BMC Genom. 16, 195 (2015).

    Article 
    CAS 

    Google Scholar 

  • Kong, B.-W. et al. RNA sequencing for global gene expression associated with muscle growth in a single male modern broiler line compared to a foundational barred plymouth rock chicken line. BMC Genom. 18, 82 (2017).

    Article 
    CAS 

    Google Scholar 

  • Dorji, J. et al. Mitochondrial protein gene expression and the oxidative phosphorylation pathway associated with feed efficiency and energy balance in dairy cattle. J. Dairy Sci. 104, 575–587 (2021).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Swartz, T. H. et al. Characterization of the liver proteome in dairy cows experiencing negative energy balance at early lactation. J. Proteom. 246, 104308 (2021).

    CAS 
    Article 

    Google Scholar 

  • Sierżant, K., Perruchot, M.-H., Merlot, E., Le Floc’h, N. & Gondret, F. Tissue-specific responses of antioxidant pathways to poor hygiene conditions in growing pigs divergently selected for feed efficiency. BMC Vet. Res. 15, 341 (2019).

    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • Kelly, A. K. et al. mRNA expression of genes regulating oxidative phosphorylation in the muscle of beef cattle divergently ranked on residual feed intake. Physiol. Genom. 43, 12–23 (2011).

    CAS 
    Article 

    Google Scholar 

  • Iqbal, M. et al. Low feed efficient broilers within a single genetic line exhibit higher oxidative stress and protein expression in breast muscle with lower mitochondrial complex activity. Poult. Sci. 83, 474–484 (2004).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Kong, R. S. G., Liang, G., Chen, Y., Stothard, P. & Guan, L. L. Transcriptome profiling of the rumen epithelium of beef cattle differing in residual feed intake. BMC Genom. 17, 592 (2016).

    Article 
    CAS 

    Google Scholar 

  • Lindholm-Perry, A. K. et al. Profile of the spleen transcriptome in beef steers with variation in gain and feed intake. Front. Genet. 7, 127 (2016).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Santana, M. H. A. et al. Systems genetics investigations for feed intake, feed efficiency and performance in Nellore (Bos indicus) Cattle. In Proceedings of the 10th World Congress of Genetics Applied to Livestock Production. Auckland, 11–18th February (2018).

  • Dekker, S. L., Kampinga, H. H. & Bergink, S. DNAJs: more than substrate delivery to HSPA. Front. Mol. Biosci. 2, 35 (2015).

    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • Chen, Y. et al. Global gene expression profiling reveals genes expressed differentially in cattle with high and low residual feed intake. Anim. Genet. 42, 475–490 (2011).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Keogh, K., Kenny, D. A., Cormican, P., Kelly, A. K. & Waters, S. M. Effect of dietary restriction and subsequent re-alimentation on the transcriptional profile of hepatic tissue in cattle. BMC Genom. 17, 244 (2016).

    Article 
    CAS 

    Google Scholar 

  • Dowhan, D. H. et al. Steroid hormone receptor coactivation and alternative RNA splicing by U2AF65-related proteins CAPERα and CAPERβ. Mol. Cell 17, 429–439 (2005).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Morandi, E. M. et al. ITGAV and ITGA5 diversely regulate proliferation and adipogenic differentiation of human adipose derived stem cells. Sci. Rep. 6, 1–14 (2016).

    Article 
    CAS 

    Google Scholar 

  • Harp, J. B., Franklin, D., Vanderpuije, A. A. & Gimble, J. M. Differential expression of signal transducers and activators of transcription during human adipogenesis. Biochem. Biophys. Res. Commun. 281, 907–912 (2001).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Ben Meir, Y. A. et al. Eating behavior, milk production, rumination, and digestibility characteristics of high-and low-efficiency lactating cows fed a low-roughage diet. J. Dairy Sci. 101, 10973–10984 (2018).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Asher, A. et al. Time required to determine performance variables and production efficiency of lactating dairy cows. J. Dairy Sci. 97, 4340–4353 (2014).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Ben Meir, Y. A. et al. Effect of lactation trimester and parity on eating behavior, milk production and efficiency traits of dairy cows. Animal 13, 1736–1743 (2019).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Moallem, U. Future consequences of decreasing marginal production efficiency in the high-yielding dairy cow. J. Dairy Sci. 99, 2986–2995 (2016).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Zachut, M., Sood, P., Levin, Y. & Moallem, U. Proteomic analysis of preovulatory follicular fluid reveals differentially abundant proteins in less fertile dairy cows. J. Proteom. 139, 122–129 (2016).

    CAS 
    Article 

    Google Scholar 

  • Zachut, M. et al. Proteome dataset of subcutaneous adipose tissue obtained from late pregnant dairy cows during summer heat stress and winter seasons. Data Br. 12, 535–539 (2017).

    CAS 
    Article 

    Google Scholar 

  • Feldman, E. Animal models of diabetic complications consortium (AMDCC protocols). Version 1, 1–3 (2004).

    Google Scholar 

  • Shalit, T., Elinger, D., Savidor, A., Gabashvili, A. & Levin, Y. MS1-based label-free proteomics using a quadrupole orbitrap mass spectrometer. J. Proteome Res. 14, 1979–1986 (2015).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Daddam, J. R., Sreenivasulu, B., Peddanna, K. & Umamahesh, K. Designing, docking and molecular dynamics simulation studies of novel cloperastine analogues as anti-allergic agents: Homology modeling and active site prediction for the human histamine H1 receptor. RSC Adv. 10, 4745–4754 (2020).

    ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Jeanmougin, F., Thompson, J. D., Gouy, M., Higgins, D. G. & Gibson, T. J. Multiple sequence alignment with clustal X. Trends Biochem. Sci. 23, 403–405 (1998).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Daddam, J. R., Sreenivasulu, B., Umamahesh, K., Peddanna, K. & Rao, D. M. In silico studies on anti-stress compounds of ethanolic root extract of hemidesmus indicus L. Curr. Pharm. Biotechnol. 21, 502–515 (2020).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • Šali, A. & Blundell, T. L. Comparative protein modelling by satisfaction of spatial restraints. J. Mol. Biol. 234, 779–815 (1993).

    PubMed 
    Article 

    Google Scholar 

  • Phillips, J. C. et al. Scalable molecular dynamics on CPU and GPU architectures with NAMD. J. Chem. Phys. 153, 44130 (2020).

    CAS 
    Article 

    Google Scholar 

  • Laskowski, R. A., MacArthur, M. W., Moss, D. S. & Thornton, J. M. PROCHECK: A program to check the stereochemical quality of protein structures. J. Appl. Crystallogr. 26, 283–291 (1993).

    CAS 
    Article 

    Google Scholar 

  • Sura, M. & Daddam, J. R. Structure prediction, molecular simulations of RmlD from Mycobacterium tuberculosis, and interaction studies of Rhodanine derivatives for anti-tuberculosis activity. J. Mol. Model. 27, 75 (2021).

    PubMed 
    Article 
    CAS 

    Google Scholar 

  • Kurjogi, M. et al. Computational modeling of the staphylococcal enterotoxins and their interaction with natural antitoxin compounds. Int. J. Mol. Sci. 19, 133 (2018).

    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • Kra, G., Daddam, J. R., Gabay, H., Yosefi, S. & Zachut, M. Antioxidant resveratrol increases li polytic and reduces lipogenic gene expression under in vitro heat stress conditions in dedifferentiated adipocyte-derived progeny cells from dairy cows. Antioxidants 10, 905 (2021).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • Related posts:

    1. Predicting tissue-specific gene expression from complete blood transcriptome
    2. MRI biomarker to foretell LNM in T3 stage rectal carcinoma
    3. Medical Components Related to Excessive Glycemic Variability Outlined by
    4. Significance of RDW in predicting mortality in COVID‐19—An evaluation of 622 circumstances – Soni – – Worldwide Journal of Laboratory Hematology

    Categories

    • Coefficient of Variation
    • Debt
    • MSCIWI
    • Nasdaq
    • Temporal
    • Terms and Conditions
    • Privacy Policy